The Iterative Process of Data Collection & Analysis in Grounded Theory Research
Dr. Rakesh Maurya Dr. Rakesh Maurya
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 Published On Sep 13, 2024

Dr. Rakesh Maurya, an expert on qualitative methodologies, explains over all process of data collection and data analysis in grounded theory. He currently works at the University of North Florida, U.S.A., and teaches qualitative research to doctoral students.

Grounded theory research relies on a dynamic, iterative process where data collection and analysis occur simultaneously, shaping the direction of your study. In this video, we explain how this continuous interplay between data and analysis drives theory development. You'll learn how to conduct initial coding, engage in constant comparison, and use theoretical sampling to refine your research as new insights emerge. Whether you're new to grounded theory or looking to strengthen your approach, this video provides clear, actionable guidance on navigating the iterative cycle of data collection and analysis in grounded theory research.

Keywords: grounded theory, qualitative research, research methodologies, phenomenology, case study, narrative inquiry, ethnography, qualitative research methods, social science research, data analysis, qualitative analysis, research design, Grounded theory, qualitative research, research methodologies, data analysis, theory generation, social science research, constant comparison, coding in qualitative research, data collection methods, memo writing, theoretical sampling, axial coding, open coding, selective coding, Charmaz grounded theory, Glaser and Strauss, constructivist grounded theory, interpretivist approach, qualitative data analysis, inductive research, emergent themes, category development, conceptual framework, research design, saturation in qualitative research, phenomenology vs. grounded theory, grounded theory applications, theoretical sensitivity, conceptual coding, theory building, qualitative methodology, social constructivism, symbolic interactionism, substantive theory, theoretical coding, research rigor, analytical tools, constant comparative method, grounded theory research questions, sociological research, epistemological foundations, systematic data collection, qualitative interviews, participant observation, theoretical memos, conceptual density, emergent design, data-driven analysis, research paradigms, qualitative inquiry.

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